Overview

Dataset statistics

Number of variables17
Number of observations170
Missing cells519
Missing cells (%)18.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory136.8 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

airdate has constant value ""Constant
id_embedded is highly overall correlated with seasonHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
runtime is highly overall correlated with typeHigh correlation
type is highly overall correlated with number and 1 other fieldsHigh correlation
type is highly imbalanced (87.2%)Imbalance
number has 3 (1.8%) missing valuesMissing
airtime has 140 (82.4%) missing valuesMissing
runtime has 10 (5.9%) missing valuesMissing
rating_average has 170 (100.0%) missing valuesMissing
medium has 67 (39.4%) missing valuesMissing
original has 67 (39.4%) missing valuesMissing
summary has 62 (36.5%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-06 16:32:29.900066
Analysis finished2023-08-06 16:32:33.581583
Duration3.68 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2439269.5
Minimum2330726
Maximum2582367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:33.665276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2330726
5-th percentile2405329.3
Q12424071.2
median2440706.5
Q32445871.5
95-th percentile2497501.6
Maximum2582367
Range251641
Interquartile range (IQR)21800.25

Descriptive statistics

Standard deviation30687.685
Coefficient of variation (CV)0.012580687
Kurtosis7.8293264
Mean2439269.5
Median Absolute Deviation (MAD)6692
Skewness1.7692056
Sum4.1467582 × 108
Variance9.4173401 × 108
MonotonicityNot monotonic
2023-08-06T11:32:33.827692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2401585 1
 
0.6%
2422360 1
 
0.6%
2447457 1
 
0.6%
2425132 1
 
0.6%
2427368 1
 
0.6%
2427369 1
 
0.6%
2427370 1
 
0.6%
2427371 1
 
0.6%
2427372 1
 
0.6%
2409364 1
 
0.6%
Other values (160) 160
94.1%
ValueCountFrequency (%)
2330726 1
0.6%
2374215 1
0.6%
2380798 1
0.6%
2389679 1
0.6%
2393400 1
0.6%
2393536 1
0.6%
2401585 1
0.6%
2403834 1
0.6%
2404585 1
0.6%
2406239 1
0.6%
ValueCountFrequency (%)
2582367 1
0.6%
2577818 1
0.6%
2574162 1
0.6%
2540848 1
0.6%
2521738 1
0.6%
2513097 1
0.6%
2503430 1
0.6%
2498152 1
0.6%
2498151 1
0.6%
2496708 1
0.6%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct101
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55795.012
Minimum2643
Maximum69389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:34.102742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2643
5-th percentile26268
Q152957
median61140
Q365074.75
95-th percentile65873.5
Maximum69389
Range66746
Interquartile range (IQR)12117.75

Descriptive statistics

Standard deviation13585.869
Coefficient of variation (CV)0.24349613
Kurtosis3.9953306
Mean55795.012
Median Absolute Deviation (MAD)4547
Skewness-1.9691823
Sum9485152
Variance1.8457585 × 108
MonotonicityNot monotonic
2023-08-06T11:32:34.256524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54017 9
 
5.3%
41101 9
 
5.3%
54440 8
 
4.7%
65687 8
 
4.7%
65520 6
 
3.5%
64487 6
 
3.5%
64855 5
 
2.9%
65348 4
 
2.4%
63481 4
 
2.4%
65408 3
 
1.8%
Other values (91) 108
63.5%
ValueCountFrequency (%)
2643 1
0.6%
4175 1
0.6%
7847 1
0.6%
10892 2
1.2%
12060 1
0.6%
19111 1
0.6%
24963 1
0.6%
26268 2
1.2%
26350 1
0.6%
29511 1
0.6%
ValueCountFrequency (%)
69389 1
0.6%
68575 1
0.6%
68144 1
0.6%
67998 1
0.6%
67204 1
0.6%
67152 1
0.6%
66342 1
0.6%
65995 2
1.2%
65725 1
0.6%
65697 2
1.2%

url
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:34.527406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length94
Mean length78.7
Min length57

Characters and Unicode

Total characters13379
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2401585/po-sezonu-videodajdzest-seasonvar-8x48-vypusk-406
2nd rowhttps://www.tvmaze.com/episodes/2441007/troe-iz-prostokvasino-4x06-kartonnaa-lubov
3rd rowhttps://www.tvmaze.com/episodes/2441008/troe-iz-prostokvasino-4x07-matroskosarik
4th rowhttps://www.tvmaze.com/episodes/2444673/kontakty-1x78-kontakty-v-telefone-leonida-sluckogo-basta-denis-dorohov-ivan-usovic-dmitrij-pozov
5th rowhttps://www.tvmaze.com/episodes/2422253/trudnye-podrostki-realnost-2x13-seria-13
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2401585/po-sezonu-videodajdzest-seasonvar-8x48-vypusk-406 1
 
0.6%
https://www.tvmaze.com/episodes/2330726/against-the-sky-supreme-1x150-episode-150 1
 
0.6%
https://www.tvmaze.com/episodes/2454847/women-walk-the-line-1x16-episode-16 1
 
0.6%
https://www.tvmaze.com/episodes/2454846/women-walk-the-line-1x15-episode-15 1
 
0.6%
https://www.tvmaze.com/episodes/2441008/troe-iz-prostokvasino-4x07-matroskosarik 1
 
0.6%
https://www.tvmaze.com/episodes/2444673/kontakty-1x78-kontakty-v-telefone-leonida-sluckogo-basta-denis-dorohov-ivan-usovic-dmitrij-pozov 1
 
0.6%
https://www.tvmaze.com/episodes/2422253/trudnye-podrostki-realnost-2x13-seria-13 1
 
0.6%
https://www.tvmaze.com/episodes/2521738/engineering-reborn-1x02-coal-drops-yard-maritime-museum-peace-bunker 1
 
0.6%
https://www.tvmaze.com/episodes/2411104/wanmei-shijie-1x87-episode-87 1
 
0.6%
https://www.tvmaze.com/episodes/2436063/supreme-god-emperor-1x227-episode-227 1
 
0.6%
Other values (160) 160
94.1%
2023-08-06T11:32:34.979666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1071
 
8.0%
- 993
 
7.4%
/ 850
 
6.4%
s 841
 
6.3%
t 817
 
6.1%
o 745
 
5.6%
a 596
 
4.5%
w 577
 
4.3%
i 513
 
3.8%
m 483
 
3.6%
Other values (30) 5893
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9202
68.8%
Decimal Number 1824
 
13.6%
Other Punctuation 1360
 
10.2%
Dash Punctuation 993
 
7.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1071
 
11.6%
s 841
 
9.1%
t 817
 
8.9%
o 745
 
8.1%
a 596
 
6.5%
w 577
 
6.3%
i 513
 
5.6%
m 483
 
5.2%
p 475
 
5.2%
h 368
 
4.0%
Other values (16) 2716
29.5%
Decimal Number
ValueCountFrequency (%)
2 378
20.7%
4 322
17.7%
1 243
13.3%
0 239
13.1%
3 143
 
7.8%
7 129
 
7.1%
9 96
 
5.3%
5 95
 
5.2%
6 92
 
5.0%
8 87
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 850
62.5%
. 340
 
25.0%
: 170
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 993
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9202
68.8%
Common 4177
31.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1071
 
11.6%
s 841
 
9.1%
t 817
 
8.9%
o 745
 
8.1%
a 596
 
6.5%
w 577
 
6.3%
i 513
 
5.6%
m 483
 
5.2%
p 475
 
5.2%
h 368
 
4.0%
Other values (16) 2716
29.5%
Common
ValueCountFrequency (%)
- 993
23.8%
/ 850
20.3%
2 378
 
9.0%
. 340
 
8.1%
4 322
 
7.7%
1 243
 
5.8%
0 239
 
5.7%
: 170
 
4.1%
3 143
 
3.4%
7 129
 
3.1%
Other values (4) 370
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13379
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1071
 
8.0%
- 993
 
7.4%
/ 850
 
6.4%
s 841
 
6.3%
t 817
 
6.1%
o 745
 
5.6%
a 596
 
4.5%
w 577
 
4.3%
i 513
 
3.8%
m 483
 
3.6%
Other values (30) 5893
44.0%

name
Text

Distinct164
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:35.330850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length33
Mean length16.658824
Min length3

Characters and Unicode

Total characters2832
Distinct characters138
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)94.1%

Sample

1st rowВыпуск 406
2nd rowКартонная любовь
3rd rowМатроскошарик
4th rowКОНТАКТЫ в телефоне Леонида Слуцкого: Баста, Денис Дорохов, Иван Усович, Дмитрий Позов
5th rowСерия 13
ValueCountFrequency (%)
episode 29
 
5.8%
the 23
 
4.6%
of 8
 
1.6%
christmas 6
 
1.2%
6
 
1.2%
a 5
 
1.0%
on 5
 
1.0%
is 4
 
0.8%
out 4
 
0.8%
6 4
 
0.8%
Other values (361) 408
81.3%
2023-08-06T11:32:35.848087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
334
 
11.8%
e 238
 
8.4%
o 164
 
5.8%
a 161
 
5.7%
i 144
 
5.1%
s 133
 
4.7%
n 124
 
4.4%
t 115
 
4.1%
r 112
 
4.0%
l 82
 
2.9%
Other values (128) 1225
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1934
68.3%
Uppercase Letter 391
 
13.8%
Space Separator 334
 
11.8%
Decimal Number 94
 
3.3%
Other Punctuation 61
 
2.2%
Dash Punctuation 6
 
0.2%
Other Letter 6
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 238
12.3%
o 164
 
8.5%
a 161
 
8.3%
i 144
 
7.4%
s 133
 
6.9%
n 124
 
6.4%
t 115
 
5.9%
r 112
 
5.8%
l 82
 
4.2%
d 75
 
3.9%
Other values (54) 586
30.3%
Uppercase Letter
ValueCountFrequency (%)
E 33
 
8.4%
T 32
 
8.2%
S 27
 
6.9%
C 25
 
6.4%
M 21
 
5.4%
B 20
 
5.1%
A 19
 
4.9%
F 19
 
4.9%
H 18
 
4.6%
W 18
 
4.6%
Other values (33) 159
40.7%
Decimal Number
ValueCountFrequency (%)
2 19
20.2%
1 18
19.1%
4 11
11.7%
3 9
9.6%
0 8
8.5%
7 7
 
7.4%
5 7
 
7.4%
6 6
 
6.4%
8 5
 
5.3%
9 4
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 22
36.1%
, 18
29.5%
' 8
 
13.1%
! 5
 
8.2%
& 3
 
4.9%
/ 2
 
3.3%
? 2
 
3.3%
: 1
 
1.6%
Other Letter
ValueCountFrequency (%)
ل 2
33.3%
ة 1
16.7%
ا 1
16.7%
ح 1
16.7%
ق 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
50.0%
[ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
] 1
50.0%
) 1
50.0%
Space Separator
ValueCountFrequency (%)
334
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2156
76.1%
Common 501
 
17.7%
Cyrillic 169
 
6.0%
Arabic 6
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 238
 
11.0%
o 164
 
7.6%
a 161
 
7.5%
i 144
 
6.7%
s 133
 
6.2%
n 124
 
5.8%
t 115
 
5.3%
r 112
 
5.2%
l 82
 
3.8%
d 75
 
3.5%
Other values (50) 808
37.5%
Cyrillic
ValueCountFrequency (%)
о 18
 
10.7%
е 11
 
6.5%
а 10
 
5.9%
в 10
 
5.9%
и 9
 
5.3%
р 9
 
5.3%
н 9
 
5.3%
т 7
 
4.1%
с 7
 
4.1%
я 5
 
3.0%
Other values (37) 74
43.8%
Common
ValueCountFrequency (%)
334
66.7%
. 22
 
4.4%
2 19
 
3.8%
1 18
 
3.6%
, 18
 
3.6%
4 11
 
2.2%
3 9
 
1.8%
0 8
 
1.6%
' 8
 
1.6%
7 7
 
1.4%
Other values (16) 47
 
9.4%
Arabic
ValueCountFrequency (%)
ل 2
33.3%
ة 1
16.7%
ا 1
16.7%
ح 1
16.7%
ق 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2633
93.0%
Cyrillic 169
 
6.0%
None 22
 
0.8%
Arabic 6
 
0.2%
Punctuation 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
334
 
12.7%
e 238
 
9.0%
o 164
 
6.2%
a 161
 
6.1%
i 144
 
5.5%
s 133
 
5.1%
n 124
 
4.7%
t 115
 
4.4%
r 112
 
4.3%
l 82
 
3.1%
Other values (63) 1026
39.0%
Cyrillic
ValueCountFrequency (%)
о 18
 
10.7%
е 11
 
6.5%
а 10
 
5.9%
в 10
 
5.9%
и 9
 
5.3%
р 9
 
5.3%
н 9
 
5.3%
т 7
 
4.1%
с 7
 
4.1%
я 5
 
3.0%
Other values (37) 74
43.8%
None
ValueCountFrequency (%)
ü 6
27.3%
ö 5
22.7%
ş 2
 
9.1%
ı 2
 
9.1%
Ş 1
 
4.5%
Ö 1
 
4.5%
ó 1
 
4.5%
ú 1
 
4.5%
í 1
 
4.5%
ç 1
 
4.5%
Arabic
ValueCountFrequency (%)
ل 2
33.3%
ة 1
16.7%
ا 1
16.7%
ح 1
16.7%
ق 1
16.7%
Punctuation
ValueCountFrequency (%)
1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.852941
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:35.993435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile13
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation154.95575
Coefficient of variation (CV)10.432665
Kurtosis169.53721
Mean14.852941
Median Absolute Deviation (MAD)0
Skewness13.012178
Sum2525
Variance24011.286
MonotonicityNot monotonic
2023-08-06T11:32:36.127391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1 95
55.9%
2 40
23.5%
3 10
 
5.9%
4 6
 
3.5%
5 3
 
1.8%
7 3
 
1.8%
13 2
 
1.2%
8 1
 
0.6%
22 1
 
0.6%
47 1
 
0.6%
Other values (8) 8
 
4.7%
ValueCountFrequency (%)
1 95
55.9%
2 40
23.5%
3 10
 
5.9%
4 6
 
3.5%
5 3
 
1.8%
6 1
 
0.6%
7 3
 
1.8%
8 1
 
0.6%
12 1
 
0.6%
13 2
 
1.2%
ValueCountFrequency (%)
2022 1
0.6%
47 1
0.6%
34 1
0.6%
28 1
0.6%
23 1
0.6%
22 1
0.6%
18 1
0.6%
14 1
0.6%
13 2
1.2%
12 1
0.6%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct46
Distinct (%)27.5%
Missing3
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean17.215569
Minimum1
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:36.269370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q313.5
95-th percentile86.4
Maximum241
Range240
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation34.738458
Coefficient of variation (CV)2.0178513
Kurtosis19.819385
Mean17.215569
Median Absolute Deviation (MAD)3
Skewness4.1452512
Sum2875
Variance1206.7605
MonotonicityNot monotonic
2023-08-06T11:32:36.417424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
2 16
 
9.4%
4 16
 
9.4%
1 15
 
8.8%
3 14
 
8.2%
7 14
 
8.2%
6 13
 
7.6%
8 12
 
7.1%
5 12
 
7.1%
9 6
 
3.5%
10 5
 
2.9%
Other values (36) 44
25.9%
ValueCountFrequency (%)
1 15
8.8%
2 16
9.4%
3 14
8.2%
4 16
9.4%
5 12
7.1%
6 13
7.6%
7 14
8.2%
8 12
7.1%
9 6
 
3.5%
10 5
 
2.9%
ValueCountFrequency (%)
241 1
0.6%
227 1
0.6%
150 1
0.6%
137 1
0.6%
118 1
0.6%
117 1
0.6%
110 1
0.6%
89 1
0.6%
87 1
0.6%
85 1
0.6%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
regular
167 
significant_special
 
3

Length

Max length19
Median length7
Mean length7.2117647
Min length7

Characters and Unicode

Total characters1226
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 167
98.2%
significant_special 3
 
1.8%

Length

2023-08-06T11:32:36.557393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-06T11:32:36.671083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 167
98.2%
significant_special 3
 
1.8%

Most occurring characters

ValueCountFrequency (%)
r 334
27.2%
a 173
14.1%
e 170
13.9%
g 170
13.9%
l 170
13.9%
u 167
13.6%
i 12
 
1.0%
s 6
 
0.5%
n 6
 
0.5%
c 6
 
0.5%
Other values (4) 12
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1223
99.8%
Connector Punctuation 3
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 334
27.3%
a 173
14.1%
e 170
13.9%
g 170
13.9%
l 170
13.9%
u 167
13.7%
i 12
 
1.0%
s 6
 
0.5%
n 6
 
0.5%
c 6
 
0.5%
Other values (3) 9
 
0.7%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1223
99.8%
Common 3
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 334
27.3%
a 173
14.1%
e 170
13.9%
g 170
13.9%
l 170
13.9%
u 167
13.7%
i 12
 
1.0%
s 6
 
0.5%
n 6
 
0.5%
c 6
 
0.5%
Other values (3) 9
 
0.7%
Common
ValueCountFrequency (%)
_ 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 334
27.2%
a 173
14.1%
e 170
13.9%
g 170
13.9%
l 170
13.9%
u 167
13.6%
i 12
 
1.0%
s 6
 
0.5%
n 6
 
0.5%
c 6
 
0.5%
Other values (4) 12
 
1.0%

airdate
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-12-02 00:00:00
Maximum2022-12-02 00:00:00
2023-08-06T11:32:36.769597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:36.878736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

airtime
Date

MISSING 

Distinct14
Distinct (%)46.7%
Missing140
Missing (%)82.4%
Memory size1.5 KiB
Minimum2023-08-06 00:00:00
Maximum2023-08-06 22:00:00
2023-08-06T11:32:36.994650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:37.129842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct26
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-12-02 00:00:00+00:00
Maximum2022-12-03 06:00:00+00:00
2023-08-06T11:32:37.268666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:37.403115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

runtime
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct56
Distinct (%)35.0%
Missing10
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean36.95
Minimum1
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:37.545995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q124
median33
Q348
95-th percentile62
Maximum180
Range179
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.543543
Coefficient of variation (CV)0.61010941
Kurtosis12.023986
Mean36.95
Median Absolute Deviation (MAD)13
Skewness2.4019453
Sum5912
Variance508.21132
MonotonicityNot monotonic
2023-08-06T11:32:37.702880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 10
 
5.9%
24 10
 
5.9%
25 8
 
4.7%
44 7
 
4.1%
10 7
 
4.1%
26 6
 
3.5%
15 5
 
2.9%
7 5
 
2.9%
45 5
 
2.9%
43 5
 
2.9%
Other values (46) 92
54.1%
(Missing) 10
 
5.9%
ValueCountFrequency (%)
1 1
 
0.6%
5 1
 
0.6%
7 5
2.9%
8 2
 
1.2%
10 7
4.1%
11 1
 
0.6%
13 1
 
0.6%
14 1
 
0.6%
15 5
2.9%
17 2
 
1.2%
ValueCountFrequency (%)
180 1
 
0.6%
138 1
 
0.6%
120 1
 
0.6%
74 1
 
0.6%
73 1
 
0.6%
71 1
 
0.6%
65 1
 
0.6%
62 2
1.2%
61 2
1.2%
60 3
1.8%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing170
Missing (%)100.0%
Memory size1.5 KiB

medium
Text

MISSING 

Distinct103
Distinct (%)100.0%
Missing67
Missing (%)39.4%
Memory size1.5 KiB
2023-08-06T11:32:37.945562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters7519
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/432/1082467.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/432/1082468.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084368.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/432/1082057.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/457/1143997.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/432/1082467.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/432/1081853.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/432/1082468.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084368.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/432/1082057.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/457/1143997.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084388.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084389.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087301.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/443/1108948.jpg 1
 
1.0%
Other values (93) 93
90.3%
2023-08-06T11:32:38.318218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 721
 
9.6%
a 618
 
8.2%
t 515
 
6.8%
s 515
 
6.8%
m 515
 
6.8%
p 412
 
5.5%
e 412
 
5.5%
i 309
 
4.1%
c 309
 
4.1%
. 309
 
4.1%
Other values (22) 2884
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5253
69.9%
Other Punctuation 1133
 
15.1%
Decimal Number 1030
 
13.7%
Connector Punctuation 103
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 618
11.8%
t 515
9.8%
s 515
9.8%
m 515
9.8%
p 412
 
7.8%
e 412
 
7.8%
i 309
 
5.9%
c 309
 
5.9%
d 309
 
5.9%
l 206
 
3.9%
Other values (8) 1133
21.6%
Decimal Number
ValueCountFrequency (%)
4 174
16.9%
3 162
15.7%
1 143
13.9%
8 139
13.5%
0 121
11.7%
2 79
7.7%
5 79
7.7%
7 52
 
5.0%
9 49
 
4.8%
6 32
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 721
63.6%
. 309
27.3%
: 103
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5253
69.9%
Common 2266
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 618
11.8%
t 515
9.8%
s 515
9.8%
m 515
9.8%
p 412
 
7.8%
e 412
 
7.8%
i 309
 
5.9%
c 309
 
5.9%
d 309
 
5.9%
l 206
 
3.9%
Other values (8) 1133
21.6%
Common
ValueCountFrequency (%)
/ 721
31.8%
. 309
13.6%
4 174
 
7.7%
3 162
 
7.1%
1 143
 
6.3%
8 139
 
6.1%
0 121
 
5.3%
_ 103
 
4.5%
: 103
 
4.5%
2 79
 
3.5%
Other values (4) 212
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 721
 
9.6%
a 618
 
8.2%
t 515
 
6.8%
s 515
 
6.8%
m 515
 
6.8%
p 412
 
5.5%
e 412
 
5.5%
i 309
 
4.1%
c 309
 
4.1%
. 309
 
4.1%
Other values (22) 2884
38.4%

original
Text

MISSING 

Distinct103
Distinct (%)100.0%
Missing67
Missing (%)39.4%
Memory size1.5 KiB
2023-08-06T11:32:38.568872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters7725
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/432/1082467.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/432/1082468.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084368.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/432/1082057.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/457/1143997.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/432/1082467.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/432/1081853.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/432/1082468.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084368.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/432/1082057.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/457/1143997.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084388.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084389.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087301.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/443/1108948.jpg 1
 
1.0%
Other values (93) 93
90.3%
2023-08-06T11:32:38.950876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 721
 
9.3%
t 618
 
8.0%
a 515
 
6.7%
s 412
 
5.3%
i 412
 
5.3%
o 412
 
5.3%
p 309
 
4.0%
c 309
 
4.0%
. 309
 
4.0%
g 309
 
4.0%
Other values (23) 3399
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5459
70.7%
Other Punctuation 1133
 
14.7%
Decimal Number 1030
 
13.3%
Connector Punctuation 103
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 618
 
11.3%
a 515
 
9.4%
s 412
 
7.5%
i 412
 
7.5%
o 412
 
7.5%
p 309
 
5.7%
c 309
 
5.7%
g 309
 
5.7%
m 309
 
5.7%
e 309
 
5.7%
Other values (9) 1545
28.3%
Decimal Number
ValueCountFrequency (%)
4 174
16.9%
3 162
15.7%
1 143
13.9%
8 139
13.5%
0 121
11.7%
2 79
7.7%
5 79
7.7%
7 52
 
5.0%
9 49
 
4.8%
6 32
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 721
63.6%
. 309
27.3%
: 103
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 103
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5459
70.7%
Common 2266
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 618
 
11.3%
a 515
 
9.4%
s 412
 
7.5%
i 412
 
7.5%
o 412
 
7.5%
p 309
 
5.7%
c 309
 
5.7%
g 309
 
5.7%
m 309
 
5.7%
e 309
 
5.7%
Other values (9) 1545
28.3%
Common
ValueCountFrequency (%)
/ 721
31.8%
. 309
13.6%
4 174
 
7.7%
3 162
 
7.1%
1 143
 
6.3%
8 139
 
6.1%
0 121
 
5.3%
: 103
 
4.5%
_ 103
 
4.5%
2 79
 
3.5%
Other values (4) 212
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7725
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 721
 
9.3%
t 618
 
8.0%
a 515
 
6.7%
s 412
 
5.3%
i 412
 
5.3%
o 412
 
5.3%
p 309
 
4.0%
c 309
 
4.0%
. 309
 
4.0%
g 309
 
4.0%
Other values (23) 3399
44.0%

_links_self
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:39.175529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters6630
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2401585
2nd rowhttps://api.tvmaze.com/episodes/2441007
3rd rowhttps://api.tvmaze.com/episodes/2441008
4th rowhttps://api.tvmaze.com/episodes/2444673
5th rowhttps://api.tvmaze.com/episodes/2422253
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2401585 1
 
0.6%
https://api.tvmaze.com/episodes/2330726 1
 
0.6%
https://api.tvmaze.com/episodes/2454847 1
 
0.6%
https://api.tvmaze.com/episodes/2454846 1
 
0.6%
https://api.tvmaze.com/episodes/2441008 1
 
0.6%
https://api.tvmaze.com/episodes/2444673 1
 
0.6%
https://api.tvmaze.com/episodes/2422253 1
 
0.6%
https://api.tvmaze.com/episodes/2521738 1
 
0.6%
https://api.tvmaze.com/episodes/2411104 1
 
0.6%
https://api.tvmaze.com/episodes/2436063 1
 
0.6%
Other values (160) 160
94.1%
2023-08-06T11:32:39.545789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 680
 
10.3%
p 510
 
7.7%
s 510
 
7.7%
e 510
 
7.7%
t 510
 
7.7%
o 340
 
5.1%
a 340
 
5.1%
i 340
 
5.1%
. 340
 
5.1%
m 340
 
5.1%
Other values (16) 2210
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4250
64.1%
Other Punctuation 1190
 
17.9%
Decimal Number 1190
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 510
12.0%
s 510
12.0%
e 510
12.0%
t 510
12.0%
o 340
8.0%
a 340
8.0%
i 340
8.0%
m 340
8.0%
h 170
 
4.0%
d 170
 
4.0%
Other values (3) 510
12.0%
Decimal Number
ValueCountFrequency (%)
2 277
23.3%
4 274
23.0%
0 96
 
8.1%
3 95
 
8.0%
7 93
 
7.8%
1 81
 
6.8%
9 81
 
6.8%
5 67
 
5.6%
6 67
 
5.6%
8 59
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 680
57.1%
. 340
28.6%
: 170
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4250
64.1%
Common 2380
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 680
28.6%
. 340
14.3%
2 277
11.6%
4 274
11.5%
: 170
 
7.1%
0 96
 
4.0%
3 95
 
4.0%
7 93
 
3.9%
1 81
 
3.4%
9 81
 
3.4%
Other values (3) 193
 
8.1%
Latin
ValueCountFrequency (%)
p 510
12.0%
s 510
12.0%
e 510
12.0%
t 510
12.0%
o 340
8.0%
a 340
8.0%
i 340
8.0%
m 340
8.0%
h 170
 
4.0%
d 170
 
4.0%
Other values (3) 510
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 680
 
10.3%
p 510
 
7.7%
s 510
 
7.7%
e 510
 
7.7%
t 510
 
7.7%
o 340
 
5.1%
a 340
 
5.1%
i 340
 
5.1%
. 340
 
5.1%
m 340
 
5.1%
Other values (16) 2210
33.3%
Distinct101
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-06T11:32:39.797396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.982353
Min length33

Characters and Unicode

Total characters5777
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)45.9%

Sample

1st rowhttps://api.tvmaze.com/shows/7847
2nd rowhttps://api.tvmaze.com/shows/10892
3rd rowhttps://api.tvmaze.com/shows/10892
4th rowhttps://api.tvmaze.com/shows/49630
5th rowhttps://api.tvmaze.com/shows/59071
ValueCountFrequency (%)
https://api.tvmaze.com/shows/54017 9
 
5.3%
https://api.tvmaze.com/shows/41101 9
 
5.3%
https://api.tvmaze.com/shows/54440 8
 
4.7%
https://api.tvmaze.com/shows/65687 8
 
4.7%
https://api.tvmaze.com/shows/65520 6
 
3.5%
https://api.tvmaze.com/shows/64487 6
 
3.5%
https://api.tvmaze.com/shows/64855 5
 
2.9%
https://api.tvmaze.com/shows/65348 4
 
2.4%
https://api.tvmaze.com/shows/63481 4
 
2.4%
https://api.tvmaze.com/shows/50901 3
 
1.8%
Other values (91) 108
63.5%
2023-08-06T11:32:40.167054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 680
 
11.8%
s 510
 
8.8%
t 510
 
8.8%
h 340
 
5.9%
p 340
 
5.9%
a 340
 
5.9%
o 340
 
5.9%
. 340
 
5.9%
m 340
 
5.9%
e 170
 
2.9%
Other values (16) 1867
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3740
64.7%
Other Punctuation 1190
 
20.6%
Decimal Number 847
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 510
13.6%
t 510
13.6%
h 340
9.1%
p 340
9.1%
a 340
9.1%
o 340
9.1%
m 340
9.1%
e 170
 
4.5%
w 170
 
4.5%
c 170
 
4.5%
Other values (3) 510
13.6%
Decimal Number
ValueCountFrequency (%)
4 139
16.4%
6 133
15.7%
5 128
15.1%
1 87
10.3%
0 81
9.6%
8 80
9.4%
9 55
 
6.5%
7 53
 
6.3%
2 46
 
5.4%
3 45
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 680
57.1%
. 340
28.6%
: 170
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3740
64.7%
Common 2037
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 680
33.4%
. 340
16.7%
: 170
 
8.3%
4 139
 
6.8%
6 133
 
6.5%
5 128
 
6.3%
1 87
 
4.3%
0 81
 
4.0%
8 80
 
3.9%
9 55
 
2.7%
Other values (3) 144
 
7.1%
Latin
ValueCountFrequency (%)
s 510
13.6%
t 510
13.6%
h 340
9.1%
p 340
9.1%
a 340
9.1%
o 340
9.1%
m 340
9.1%
e 170
 
4.5%
w 170
 
4.5%
c 170
 
4.5%
Other values (3) 510
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5777
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 680
 
11.8%
s 510
 
8.8%
t 510
 
8.8%
h 340
 
5.9%
p 340
 
5.9%
a 340
 
5.9%
o 340
 
5.9%
. 340
 
5.9%
m 340
 
5.9%
e 170
 
2.9%
Other values (16) 1867
32.3%

summary
Text

MISSING 

Distinct108
Distinct (%)100.0%
Missing62
Missing (%)36.5%
Memory size1.5 KiB
2023-08-06T11:32:40.484673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length428
Median length216.5
Mean length190.9537
Min length46

Characters and Unicode

Total characters20623
Distinct characters83
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row<p>Explores the St Louis Rail Station, and how it went from being the biggest in the United States to falling into disrepair.</p>
2nd row<p>Mu Yeong starts working as an assistant at Seon Heo's house, and one of the tasks seems to be posing as a reference model for Seon Heo?<br /> </p>
3rd row<p>Wasim destroys the Amsterdam deal, there is chaos and conflict in the gangs, and Party wants to escape. Bæbs must choose between paying Irfan or preventing eviction.</p>
4th row<p>The participants must prove that they have mastered the art of Christmas gift shopping in today's challenge. Whoever does the worst must leave the competition.</p>
5th row<p>When Darrell finds herself stranded at an empty Malory Towers for Christmas, she has to hold her nerve when strange things start happening around the school!</p>
ValueCountFrequency (%)
the 174
 
5.1%
and 119
 
3.5%
to 113
 
3.3%
a 106
 
3.1%
of 64
 
1.9%
in 49
 
1.5%
her 44
 
1.3%
for 43
 
1.3%
his 37
 
1.1%
is 36
 
1.1%
Other values (1512) 2594
76.8%
2023-08-06T11:32:41.107654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3261
15.8%
e 1918
 
9.3%
a 1380
 
6.7%
t 1276
 
6.2%
i 1206
 
5.8%
s 1147
 
5.6%
n 1127
 
5.5%
o 1034
 
5.0%
r 954
 
4.6%
h 802
 
3.9%
Other values (73) 6518
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 15564
75.5%
Space Separator 3272
 
15.9%
Uppercase Letter 661
 
3.2%
Other Punctuation 590
 
2.9%
Math Symbol 466
 
2.3%
Dash Punctuation 29
 
0.1%
Decimal Number 25
 
0.1%
Modifier Symbol 16
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1918
12.3%
a 1380
 
8.9%
t 1276
 
8.2%
i 1206
 
7.7%
s 1147
 
7.4%
n 1127
 
7.2%
o 1034
 
6.6%
r 954
 
6.1%
h 802
 
5.2%
l 672
 
4.3%
Other values (20) 4048
26.0%
Uppercase Letter
ValueCountFrequency (%)
A 64
 
9.7%
C 57
 
8.6%
M 51
 
7.7%
T 51
 
7.7%
S 45
 
6.8%
V 39
 
5.9%
D 38
 
5.7%
W 32
 
4.8%
R 27
 
4.1%
P 24
 
3.6%
Other values (16) 233
35.2%
Other Punctuation
ValueCountFrequency (%)
. 221
37.5%
, 144
24.4%
/ 119
20.2%
' 77
 
13.1%
! 9
 
1.5%
; 6
 
1.0%
? 5
 
0.8%
& 5
 
0.8%
: 2
 
0.3%
" 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
0 8
32.0%
1 5
20.0%
2 3
 
12.0%
9 2
 
8.0%
3 2
 
8.0%
6 2
 
8.0%
7 1
 
4.0%
5 1
 
4.0%
4 1
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
89.7%
2
 
6.9%
1
 
3.4%
Space Separator
ValueCountFrequency (%)
3261
99.7%
  11
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 233
50.0%
< 233
50.0%
Modifier Symbol
ValueCountFrequency (%)
` 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16225
78.7%
Common 4398
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1918
11.8%
a 1380
 
8.5%
t 1276
 
7.9%
i 1206
 
7.4%
s 1147
 
7.1%
n 1127
 
6.9%
o 1034
 
6.4%
r 954
 
5.9%
h 802
 
4.9%
l 672
 
4.1%
Other values (46) 4709
29.0%
Common
ValueCountFrequency (%)
3261
74.1%
> 233
 
5.3%
< 233
 
5.3%
. 221
 
5.0%
, 144
 
3.3%
/ 119
 
2.7%
' 77
 
1.8%
- 26
 
0.6%
` 16
 
0.4%
  11
 
0.3%
Other values (17) 57
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20605
99.9%
None 15
 
0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3261
15.8%
e 1918
 
9.3%
a 1380
 
6.7%
t 1276
 
6.2%
i 1206
 
5.9%
s 1147
 
5.6%
n 1127
 
5.5%
o 1034
 
5.0%
r 954
 
4.6%
h 802
 
3.9%
Other values (66) 6500
31.5%
None
ValueCountFrequency (%)
  11
73.3%
é 1
 
6.7%
ë 1
 
6.7%
å 1
 
6.7%
æ 1
 
6.7%
Punctuation
ValueCountFrequency (%)
2
66.7%
1
33.3%

Interactions

2023-08-06T11:32:32.560870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:30.392142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.054463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.588577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.093451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.652875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:30.597987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.180435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.684887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.181365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.751376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:30.704541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.281537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.787799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.281351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.861397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:30.804133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.384773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.893214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.379096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.948433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:30.889999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.485625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:31.985767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-06T11:32:32.468944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-06T11:32:41.221809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetype
id1.0000.4230.0150.112-0.2190.000
id_embedded0.4231.000-0.649-0.204-0.0670.330
season0.015-0.6491.0000.099-0.1060.000
number0.112-0.2040.0991.000-0.3661.000
runtime-0.219-0.067-0.106-0.3661.0000.549
type0.0000.3300.0001.0000.5491.000

Missing values

2023-08-06T11:32:33.101918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-06T11:32:33.348021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-06T11:32:33.506388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
024015857847https://www.tvmaze.com/episodes/2401585/po-sezonu-videodajdzest-seasonvar-8x48-vypusk-406Выпуск 406848.0regular2022-12-022022-12-02T00:00:00+00:008.0NoneNoneNonehttps://api.tvmaze.com/episodes/2401585https://api.tvmaze.com/shows/7847None
1244100710892https://www.tvmaze.com/episodes/2441007/troe-iz-prostokvasino-4x06-kartonnaa-lubovКартонная любовь46.0regular2022-12-0212:002022-12-02T00:00:00+00:007.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/432/1082467.jpghttps://static.tvmaze.com/uploads/images/original_untouched/432/1082467.jpghttps://api.tvmaze.com/episodes/2441007https://api.tvmaze.com/shows/10892None
2244100810892https://www.tvmaze.com/episodes/2441008/troe-iz-prostokvasino-4x07-matroskosarikМатроскошарик47.0regular2022-12-0212:002022-12-02T00:00:00+00:007.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/432/1082468.jpghttps://static.tvmaze.com/uploads/images/original_untouched/432/1082468.jpghttps://api.tvmaze.com/episodes/2441008https://api.tvmaze.com/shows/10892None
3244467349630https://www.tvmaze.com/episodes/2444673/kontakty-1x78-kontakty-v-telefone-leonida-sluckogo-basta-denis-dorohov-ivan-usovic-dmitrij-pozovКОНТАКТЫ в телефоне Леонида Слуцкого: Баста, Денис Дорохов, Иван Усович, Дмитрий Позов178.0regular2022-12-0212:002022-12-02T00:00:00+00:0043.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084368.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084368.jpghttps://api.tvmaze.com/episodes/2444673https://api.tvmaze.com/shows/49630None
4242225359071https://www.tvmaze.com/episodes/2422253/trudnye-podrostki-realnost-2x13-seria-13Серия 13213.0regular2022-12-022022-12-02T00:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2422253https://api.tvmaze.com/shows/59071None
5252173867998https://www.tvmaze.com/episodes/2521738/engineering-reborn-1x02-coal-drops-yard-maritime-museum-peace-bunkerCoal Drops Yard, Maritime Museum, Peace Bunker12.0regular2022-12-022022-12-02T01:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2521738https://api.tvmaze.com/shows/67998<p>Explores the St Louis Rail Station, and how it went from being the biggest in the United States to falling into disrepair.</p>
6241110454894https://www.tvmaze.com/episodes/2411104/wanmei-shijie-1x87-episode-87Episode 87187.0regular2022-12-0210:002022-12-02T02:00:00+00:0020.0NoneNoneNonehttps://api.tvmaze.com/episodes/2411104https://api.tvmaze.com/shows/54894None
7243606355019https://www.tvmaze.com/episodes/2436063/supreme-god-emperor-1x227-episode-227Episode 2271227.0regular2022-12-0210:002022-12-02T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2436063https://api.tvmaze.com/shows/55019None
8233072662143https://www.tvmaze.com/episodes/2330726/against-the-sky-supreme-1x150-episode-150Episode 1501150.0regular2022-12-0210:002022-12-02T02:00:00+00:007.0NoneNoneNonehttps://api.tvmaze.com/episodes/2330726https://api.tvmaze.com/shows/62143None
9251309763068https://www.tvmaze.com/episodes/2513097/jiu-tian-xuan-di-jue-3x10-episode-102Episode 102310.0regular2022-12-0210:002022-12-02T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2513097https://api.tvmaze.com/shows/63068None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
160244658765697https://www.tvmaze.com/episodes/2446587/make-yourself-at-home-1x07-norwayNorway17.0regular2022-12-022022-12-02T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1086194.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1086194.jpghttps://api.tvmaze.com/episodes/2446587https://api.tvmaze.com/shows/65697<p>Maddie Moate explores three incredible and unique homes in Norway.</p>
161244658965697https://www.tvmaze.com/episodes/2446589/make-yourself-at-home-1x08-moroccoMorocco18.0regular2022-12-022022-12-02T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1086195.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1086195.jpghttps://api.tvmaze.com/episodes/2446589https://api.tvmaze.com/shows/65697<p>Maddie Moate visits three colorful and diverse homes in Morocco.</p>
162243457926350https://www.tvmaze.com/episodes/2434579/nytt-pa-nytt-47x14-morten-hegseth-og-anja-bakken-riiseMorten Hegseth og Anja Bakken Riise4714.0regular2022-12-0220:002022-12-02T19:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2434579https://api.tvmaze.com/shows/26350None
163242021859560https://www.tvmaze.com/episodes/2420218/the-villains-of-valley-view-1x20-how-the-villains-stole-christmasHow the Villains Stole Christmas120.0regular2022-12-0220:002022-12-03T01:00:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1082574.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1082574.jpghttps://api.tvmaze.com/episodes/2420218https://api.tvmaze.com/shows/59560<p>Set in the past, Onyx issues an annual ruin Christmas challenge. The villain family breaks up into two teams to win it all but gets more than they bargained for.</p>
16424301302643https://www.tvmaze.com/episodes/2430130/bunkd-6x10-hauntin-around-the-christmas-treeHauntin' Around the Christmas Tree610.0regular2022-12-0220:302022-12-03T01:30:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085618.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1085618.jpghttps://api.tvmaze.com/episodes/2430130https://api.tvmaze.com/shows/2643<p>While planning an over-the-top Christmas bash, Parker encounters several ghostly visitors who teach him the true meaning of the holiday.</p>
165243762365408https://www.tvmaze.com/episodes/2437623/kids-in-crime-1x04-tommy-montanaTommy Montana14.0regular2022-12-0203:002022-12-03T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2437623https://api.tvmaze.com/shows/65408<p>Tommy moves away from home together with Pål and Monica. In the new house, they can party and get drunk as much as they want, but only as long as Freddy does not find out about Monica's new whereabouts.</p>
166244192065408https://www.tvmaze.com/episodes/2441920/kids-in-crime-1x05-payday-911Payday 9/1115.0regular2022-12-0203:002022-12-03T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2441920https://api.tvmaze.com/shows/65408None
167244192165408https://www.tvmaze.com/episodes/2441921/kids-in-crime-1x06-smurfehitsSmurfehits16.0regular2022-12-0203:002022-12-03T02:00:00+00:0021.0NoneNoneNonehttps://api.tvmaze.com/episodes/2441921https://api.tvmaze.com/shows/65408None
168243500764699https://www.tvmaze.com/episodes/2435007/the-home-team-with-britt-annie-1x08-love-a-new-loungeLove a New Lounge18.0regular2022-12-0222:002022-12-03T03:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1086172.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1086172.jpghttps://api.tvmaze.com/episodes/2435007https://api.tvmaze.com/shows/64699<p>Britt and Annie transform a dark space into a bright lounging area.</p>
169254084868575https://www.tvmaze.com/episodes/2540848/mujeres-asesinas-1x05-las-bodas-de-plataLas bodas de plata15.0regular2022-12-0200:002022-12-03T06:00:00+00:0074.0NoneNoneNonehttps://api.tvmaze.com/episodes/2540848https://api.tvmaze.com/shows/68575None